利用数值微分构造机动目标跟踪的估计模型:原理和应用

利用数值微分技术描述机动目标的运动行为,建立了被跟踪目标运动参数的滤波模型和滤波-预报联合估计模型,可以在机动目标动态特性完全未知的情况下估计出位置、速度、加速度的当前值和一步预报值.这种方法建立的模型结构简单,而且容易根据各种应用要求构造合适的估计模型和选择估计算法,是一种鲁棒估计模型.仿真实验给出的结果显示这种模型对高动态目标能够获得良好的跟踪品质.

Constructing Estimate Model for Maneuvering Target Tracking by Numerical Differentiation:Principle and Applications

Using numerical differentiation to describe kinematics of maneuvering target, the filtering model and combined filtering-predicting model are constructed to estimate kinematics parameters of tracked object, thus the present estimation or present-prediction estimation of position, velocity and acceleration can be obtained even though the dynamics of maneuvering target is unknown. Besides,the models constructed by this approach are rather simple,suitable estimate models for various applications can be created and it is easy to select appropriate estimate algorithm for satisfactory estimate quality, so that models based on numerical differentiation are robust estimate models. Simulation result shows good quality is obtained for tracking the object with violent dynamics by the estimate models proposed in this paper.